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Which analytic function can be used to discover peak page visits for a site over the last day?
Suggested Answer: A, C
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The possible ways to add a link to an existing dashboard from an alert are:
Therefore, the correct answer is A and C.
43 comments · newest first
BA
Barney
10 months ago
I’m surprised D is even listed here.
OM
Omega
11 months ago
A is the best for peak visits, no doubt!
LI
Lisha
11 months ago
Wait, is C really an option? Seems off.
BR
Britt
11 months ago
I think B could work too, but not as well.
CH
Chu
11 months ago
Definitely A, that's the right choice!
SC
Scarlet
12 months ago
D seems like a possibility since counting visits makes sense, but I wonder if it's enough to find the peak specifically.
LO
Lorriane
12 months ago
I'm leaning towards C, but I can't recall if "Lag" is typically used for peak visits. It feels a bit off.
SA
Salome
12 months ago
I remember practicing with similar questions, and I feel like "Aggregation" could be the key here, maybe B?
DA
Dante
1 year ago
I think the answer might be A, but I'm not completely sure if "Transformation" is the right term for peak visits.
CH
Chi
1 year ago
I'm leaning towards C, "Lag: (24h)". I think that function might be able to identify the peak by looking at the difference in page visits over a 24-hour period.
BO
Bobbye
1 year ago
I'm pretty confident that the answer is B. The "Maximum: Aggregation (Id)" function sounds like it would be able to find the peak page visits by aggregating the data and returning the maximum value.
AB
Abel
1 year ago
Hmm, I'm not sure about this one. The options are a bit confusing, and I'm not familiar with all of these analytic functions. I'll need to think it through carefully before answering.
JA
Jacklyn
1 year ago
I think the answer is A. The question is asking for an analytic function to discover peak page visits, and the "Maximum: Transformation (24h)" option seems like it would do that by finding the maximum value over a 24-hour period.
CH
Cherri
1 year ago
I'm not sure about this one. I'd need to review the definitions of these analytic functions to make sure I understand them properly before selecting an answer.
PA
Patrick
1 year ago
Okay, let's break this down step-by-step. First, I need to identify all the key steps in the assessment process. Then I can evaluate if it's realistically possible to complete them all within 2 weeks.
AB
Abel
1 year ago
I'm a little confused by the wording of this question. What exactly does it mean for a schedule to "utilize" employee rate schedules? I want to make sure I understand the concept before answering.
BR
Bronwyn
1 year ago
I'm not entirely sure, but I think this situation calls for 'Revolution' since the changes are described as significant and quick.
LE
Leslie
1 year ago
I bet the maximum function is the way to go. That's the only way I can explain my peak chocolate consumption last night.
DO
Domonique
1 year ago
Wait, are we measuring peak visits or peak memes posted? Asking for a friend.
CR
Cristina
1 year ago
Maximum transformation, huh? Sounds like the right tool for the job. Let's see what the documentation says about that one.
RE
Rene
1 year ago
Agreed, let's dive into the details before running the analysis.
LO
Lorrine
1 year ago
Let's check the documentation to make sure we're using it correctly.
LA
Larae
1 year ago
Yeah, that function should help us find the peak page visits.
RO
Roosevelt
1 year ago
I think Maximum: Transformation (24h) is the way to go.
CA
Cassandra
1 year ago
Count? Really? That's not going to give me the peak visits, just the total number of visits. Not what I need for this question.
TE
Tequila
1 year ago
A) Maximum: Transformation (24h)
AL
Alishia
1 year ago
C) Lag: (24h)
DU
Dulce
1 year ago
A) Maximum: Transformation (24h)
SY
Sylvie
1 year ago
Hmm, the lag function could work too, but I'm not sure if that's the best approach for this use case. Gotta think this through.
PO
Portia
1 year ago
Maybe we should consider both Maximum: Transformation (24h) and Maximum: Aggregation (Id) to get a comprehensive analysis.
TR
Trinidad
1 year ago
Maybe we should consider using both Maximum: Transformation (24h) and Maximum: Aggregation (Id) to get a comprehensive analysis.
BE
Ben
1 year ago
I agree, Maximum: Aggregation (Id) would give us a clearer picture of peak page visits.
AR
Arlette
1 year ago
I think Maximum: Transformation (24h) would be the best option for this.
BR
Brinda
1 year ago
I agree, Maximum: Aggregation (Id) would give us a clear picture of peak page visits.
EU
Eun
1 year ago
I think Maximum: Transformation (24h) would be the best option for this.
TA
Tamar
1 year ago
I'm pretty sure the maximum aggregation function is the way to go here. It should give me the peak page visits over the last day.
SE
Serina
1 year ago
Let's go ahead and use the Maximum: Aggregation (Id) function to discover the peak page visits over the last day.
MY
Myra
1 year ago
I've used Maximum aggregation before for similar analysis, it's definitely the way to go.
DO
Dominga
1 year ago
Yeah, I agree. It makes sense to use the Maximum function for this kind of analysis.
JU
Justa
1 year ago
I think you're right, the Maximum: Aggregation (Id) function should give us the peak page visits over the last day.
RO
Rosenda
2 years ago
Hmm, that's a good point. But I still think A) Maximum: Transformation (24h) would give a more accurate peak page visits analysis.
EU
Eun
2 years ago
I disagree, I believe the answer is B) Maximum: Aggregation (Id). It would aggregate the data based on the page visits.
RO
Rosenda
2 years ago
I think the answer is A) Maximum: Transformation (24h). It makes sense to find the peak page visits over the last day.